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196 lines
5.1 KiB
196 lines
5.1 KiB
// Copyright 2015 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, softwar
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package promql
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import (
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"context"
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"fmt"
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"strconv"
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"strings"
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"testing"
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"time"
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"github.com/prometheus/prometheus/pkg/labels"
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"github.com/prometheus/prometheus/util/testutil"
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)
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func BenchmarkRangeQuery(b *testing.B) {
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storage := testutil.NewStorage(b)
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defer storage.Close()
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engine := NewEngine(nil, nil, 10, 100*time.Second)
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metrics := []labels.Labels{}
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metrics = append(metrics, labels.FromStrings("__name__", "a_one"))
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metrics = append(metrics, labels.FromStrings("__name__", "b_one"))
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for j := 0; j < 10; j++ {
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metrics = append(metrics, labels.FromStrings("__name__", "h_one", "le", strconv.Itoa(j)))
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}
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metrics = append(metrics, labels.FromStrings("__name__", "h_one", "le", "+Inf"))
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for i := 0; i < 10; i++ {
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metrics = append(metrics, labels.FromStrings("__name__", "a_ten", "l", strconv.Itoa(i)))
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metrics = append(metrics, labels.FromStrings("__name__", "b_ten", "l", strconv.Itoa(i)))
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for j := 0; j < 10; j++ {
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metrics = append(metrics, labels.FromStrings("__name__", "h_ten", "l", strconv.Itoa(i), "le", strconv.Itoa(j)))
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}
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metrics = append(metrics, labels.FromStrings("__name__", "h_ten", "l", strconv.Itoa(i), "le", "+Inf"))
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}
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for i := 0; i < 100; i++ {
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metrics = append(metrics, labels.FromStrings("__name__", "a_hundred", "l", strconv.Itoa(i)))
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metrics = append(metrics, labels.FromStrings("__name__", "b_hundred", "l", strconv.Itoa(i)))
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for j := 0; j < 10; j++ {
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metrics = append(metrics, labels.FromStrings("__name__", "h_hundred", "l", strconv.Itoa(i), "le", strconv.Itoa(j)))
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}
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metrics = append(metrics, labels.FromStrings("__name__", "h_hundred", "l", strconv.Itoa(i), "le", "+Inf"))
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}
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refs := make([]uint64, len(metrics))
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// A day of data plus 10k steps.
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numIntervals := 8640 + 10000
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for s := 0; s < numIntervals; s += 1 {
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a, err := storage.Appender()
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if err != nil {
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b.Fatal(err)
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}
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ts := int64(s * 10000) // 10s interval.
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for i, metric := range metrics {
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err := a.AddFast(metric, refs[i], ts, float64(s))
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if err != nil {
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refs[i], _ = a.Add(metric, ts, float64(s))
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}
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}
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if err := a.Commit(); err != nil {
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b.Fatal(err)
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}
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}
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type benchCase struct {
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expr string
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steps int
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}
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cases := []benchCase{
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// Simple rate.
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{
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expr: "rate(a_X[1m])",
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},
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{
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expr: "rate(a_X[1m])",
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steps: 10000,
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},
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// Holt-Winters and long ranges.
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{
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expr: "holt_winters(a_X[1d], 0.3, 0.3)",
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},
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{
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expr: "changes(a_X[1d])",
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},
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{
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expr: "rate(a_X[1d])",
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},
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// Unary operators.
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{
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expr: "-a_X",
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},
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// Binary operators.
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{
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expr: "a_X - b_X",
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},
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{
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expr: "a_X - b_X",
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steps: 10000,
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},
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{
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expr: "a_X and b_X{l=~'.*[0-4]$'}",
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},
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{
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expr: "a_X or b_X{l=~'.*[0-4]$'}",
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},
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{
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expr: "a_X unless b_X{l=~'.*[0-4]$'}",
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},
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// Simple functions.
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{
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expr: "abs(a_X)",
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},
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{
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expr: "label_replace(a_X, 'l2', '$1', 'l', '(.*)')",
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},
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{
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expr: "label_join(a_X, 'l2', '-', 'l', 'l')",
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},
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// Combinations.
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{
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expr: "rate(a_X[1m]) + rate(b_X[1m])",
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},
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{
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expr: "sum without (l)(rate(a_X[1m]))",
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},
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{
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expr: "sum without (l)(rate(a_X[1m])) / sum without (l)(rate(b_X[1m]))",
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},
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{
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expr: "histogram_quantile(0.9, rate(h_X[5m]))",
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},
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}
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// X in an expr will be replaced by different metric sizes.
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tmp := []benchCase{}
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for _, c := range cases {
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if !strings.Contains(c.expr, "X") {
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tmp = append(tmp, c)
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} else {
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tmp = append(tmp, benchCase{expr: strings.Replace(c.expr, "X", "one", -1), steps: c.steps})
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tmp = append(tmp, benchCase{expr: strings.Replace(c.expr, "X", "ten", -1), steps: c.steps})
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tmp = append(tmp, benchCase{expr: strings.Replace(c.expr, "X", "hundred", -1), steps: c.steps})
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}
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}
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cases = tmp
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// No step will be replaced by cases with the standard step.
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tmp = []benchCase{}
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for _, c := range cases {
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if c.steps != 0 {
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tmp = append(tmp, c)
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} else {
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tmp = append(tmp, benchCase{expr: c.expr, steps: 1})
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tmp = append(tmp, benchCase{expr: c.expr, steps: 10})
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tmp = append(tmp, benchCase{expr: c.expr, steps: 100})
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tmp = append(tmp, benchCase{expr: c.expr, steps: 1000})
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}
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}
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cases = tmp
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for _, c := range cases {
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name := fmt.Sprintf("expr=%s,steps=%d", c.expr, c.steps)
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b.Run(name, func(b *testing.B) {
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b.ReportAllocs()
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for i := 0; i < b.N; i++ {
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qry, err := engine.NewRangeQuery(
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storage, c.expr,
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time.Unix(int64((numIntervals-c.steps)*10), 0),
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time.Unix(int64(numIntervals*10), 0), time.Second*10)
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if err != nil {
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b.Fatal(err)
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}
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res := qry.Exec(context.Background())
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if res.Err != nil {
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b.Fatal(res.Err)
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}
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qry.Close()
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}
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})
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}
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}
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